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Record W4401014549 · doi:10.11607/prd.7235

Do Intrabony Defects Have a Worse Clinical Response to Step 2 of Periodontal Therapy and Repeated Subgingival Instrumentation Compared with Suprabony Defects? A Systematic Review

2024· review· en· W4401014549 on OpenAlexaboutno aff
Lorenzo Marini, A. Cuozzo, Giuseppe Mainas, Georgios N. Antonoglou, A Pilloni, Luigi Nibali

Bibliographic record

VenueThe International Journal of Periodontics & Restorative Dentistry · 2024
Typereview
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsnot available
Fundersnot available
KeywordsDentistryMedicineInstrumentation (computer programming)OrthodonticsComputer science

Abstract

fetched live from OpenAlex

This study aimed to assess the differential clinical response to step 2 of periodontal therapy and repeated subgingival instrumentation between teeth with suprabony and intrabony defects. Electronic and manual searches were performed to identify studies reporting the differential clinical outcomes of nonsurgical periodontal therapy (NSPT) in the presence or absence of intrabony defects. The Cochrane Risk of Bias 2 and the Newcastle-Ottawa scale were used to assess the risk of bias. A total of 2,348 articles were initially screened, and a total of 5 articles were finally included. Regarding the primary outcome measure, two studies reported probing pocket depth (PPD) reductions at 6 months after step 2 of periodontal therapy, showing an opposite response of intrabony defects compared to suprabony defects (3.2 ± 1.9 mm intrabony vs 2.2 ± 1.7 mm suprabony in one study, and 0.48 ± 0.42 mm intrabony vs 0.72 ± 0.36 mm suprabony in the other), while one study reported no differences at 3 months. One study showed a negative association between the presence of an intrabony defect and PPD reduction at 9 months after nonsurgical step 3 (P < .05). Due to the limited number of studies and heterogeneity of the data, conflicting evidence emerged for the differential response to NSPT of intrabony and suprabony defects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.428
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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